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manuscripts. This position will be mostly computer-based but will have opportunities for field and laboratory measurements and the operation of analytical equipment. In addition, the candidate should be able
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/research/positions-of-strength We aim to create societal value through research that addresses concrete healthcare challenges and positioning the Faculty of Medicin as a frontrunner in the use of data
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for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Postdoctoral Training Position Summary: The Stanford Trauma Systems Data Science
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resources strongly supports these efforts, including genomics, lipidomics, metabolomics, retinoid analytical cores, microscopy, animal facilities, and biostatistical support cores. Responsibilities • Design
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related discipline. Demonstrated research productivity, including a strong publication record in structural biology, mass spectrometry-based proteomics, and/or molecular biology. Strong analytical and
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Responsibilities · Lead the development and execution of data analytic plans for longitudinal, multi-site projects · Lead the design and planned missingness strategies for a multi-site longitudinal study · Lead data
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to collaborate with practitioners and policymakers to identify urgent questions of practical relevance and to design studies to test pragmatic solutions, analyze data, and disseminate findings and implications
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identifying structures and processes that promote high quality healthcare. Our projects apply advanced analytical methods to large databases of primarily structured electronic health record data and EHR usage
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experimental platform for spatial multi-omic analysis of biological tissues. Our lab builds biological measurement infrastructure—engineering systems that standardize how information is extracted from complex
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harmonized core “menu” of imaging, behavioral, and symptom measures combined with a standardized analytic pipeline applied consistently across studies, enabling biotype-based analyses and cross-project